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- ...quisition and processing of electroencephalography (EEG) data to control a drone using a Brain-Machine Interface (BMI) with motor imagery (MI). * Potentially control a drone5 KB (669 words) - 15:27, 23 October 2023
- <!-- On-Device Federated Continual Learning on Nano-Drone Swarms --> ...Perform in-field evaluation of the FCL algorithm considering a simple, two-drone system. Intermediate evaluation of CL could be beneficial for this task. <10 KB (1,377 words) - 00:49, 29 February 2024
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- [[File:ambulanceDrone.jpg|thumb|Prototype of an ambulance drone. Source: http://alecmomont.com/projects/dronesforgood/]]2 KB (286 words) - 18:15, 17 December 2015
- ...al sources of information can be evaluated as well (e.g., videos shot by a drone, 3D terrain models, etc.).2 KB (352 words) - 11:51, 21 August 2018
- ...MCU [5] on-board of the UAV, extending the computational capability of the drone, paving the way for the next-generation autonomous UAVs. * 1. HW design: starting from the drone's schematics, design and develop the PULP-shield with the two required SPI6 KB (875 words) - 11:06, 23 February 2018
- ...ough the latter one still sounds like science fiction today, in fact first drone taxis are being planned to operate in Dubai later this year. The novelty of3 KB (462 words) - 13:54, 13 November 2020
- [[File:Drone gps cellular.png|300px|thumb|A drone taxi combines the data from a satellite and a cellular basestation.]] ...these devices often include data connectivity and location information. A drone may, for instance, use both GPS and cellular positioning to increase the ac3 KB (421 words) - 09:38, 14 September 2018
- ...PULP-Shield PCB developed at IIS by our student Hanna Müller. C) Our nano-drone prototype based on the ''CrazyFlie 2.0'' coupled with the PULP-Shield.]] ===a. Pico-size Quadrotor (Fünfliber drone)===14 KB (2,077 words) - 15:02, 13 June 2022
- *WATCH OUR DEMO: EEG-HEADBAND CONTROLLING A DRONE: https://www.youtube.com/watch?v=3-DysFptdRI17 KB (2,419 words) - 20:09, 10 March 2024
- ...quisition and processing of electroencephalography (EEG) data to control a drone using a Brain-Machine Interface (BMI) with motor imagery (MI). * Potentially control a drone5 KB (669 words) - 15:27, 23 October 2023
- 2.0 nano-drone[1][2][3]. ...e results of the on-board sensors to compute the position and attitude the drone is in. We want to use an extended Kalman filter (eKF), a non-linear estimat8 KB (1,117 words) - 22:17, 26 January 2022
- ...yment of all sensors and computational modules aboard a Crazyflie 2.1 nano-drone [4], equipped with a powerful AI-deck [5] companion board that enables the4 KB (571 words) - 12:11, 27 January 2022
- ...ntral place in surveillance tasks. The surveillance of air space to detect drone activity, the surveillance of streets to detect pedestrian or vehicular act2 KB (349 words) - 15:53, 11 October 2021
- ...t integrated solution that represents a negligible payload even for a nano-drone. Indeed, the nature ...drives the drone to a target point based on a local occupancy map that the drone can construct using the depth information.4 KB (604 words) - 14:07, 10 March 2022
- [1] Y. Dan et al., “LTE-Based Passive Radar for Drone Detection and its Experimental Results,” Journal of Engineering, Nov. 2015 KB (564 words) - 16:12, 9 February 2022
- ...t integrated solution that represents a negligible payload even for a nano-drone. Indeed, the nature ...algorithm as this is the very first time we attempt mapping onboard a nano-drone. Last semester, a student designed the hardware for this task - an extensio3 KB (507 words) - 15:09, 11 February 2022
- ...2]. This shallow convolutional neural network (CNN) runs aboard a 27-grams drone being fed with images and outputting a steering angle (regression problem) More in the details, the nano-drone platform is the Bitcraze Crazyflie 2.1 [4] extended by a powerful multicore4 KB (550 words) - 21:25, 15 February 2022
- ...es. This shallow convolutional neural network (CNN) runs aboard a 27-grams drone being fed with images and outputting a steering angle (regression problem) ...-level PyTorch models into the final C implementation deployed on the nano-drone.4 KB (489 words) - 14:33, 17 May 2022
- ...l information to be processed directly onboard a resource-constrained nano-drone. ...hardware design of a companion board to host this SoC aboard a 10-cm nano-drone [5].4 KB (505 words) - 18:25, 26 July 2022
- [[File:Dvs_drones.png|200px|thumb|right|Example of Drone Detection, comparing DVS and RGB images]]4 KB (523 words) - 10:55, 5 December 2023
- <!-- On-Device Federated Continual Learning on Nano-Drone Swarms --> ...Perform in-field evaluation of the FCL algorithm considering a simple, two-drone system. Intermediate evaluation of CL could be beneficial for this task. <10 KB (1,377 words) - 00:49, 29 February 2024
- <!-- On-Device Federated Continual Learning on Nano-Drone Swarms -->11 KB (1,500 words) - 01:10, 29 February 2024